Teresa H. Meng

What is she best known for?

The fields of study she is best known for:

• Artificial intelligence
• Algorithm
• Electrical engineering

Teresa H. Meng mostly deals with Electronic engineering, Electrical engineering, CMOS, Control theory and Wireless. Her work in the fields of Electronic engineering, such as Low complexity, intersects with other areas such as Acceleration. Her study looks at the relationship between Control theory and fields such as Telecommunications, as well as how they intersect with chemical problems.

Her Wireless research integrates issues from Signal compression, Energy conservation and Computer network. Her SIMPLE and Protocol study, which is part of a larger body of work in Computer network, is frequently linked to Position, bridging the gap between disciplines. The study incorporates disciplines such as Distributed computing, Communications protocol and Energy consumption in addition to Municipal wireless network.

Her most cited work include:

• Minimum energy mobile wireless networks (1619 citations)
• A modular, wireless damage monitoring system for structures (397 citations)
• Optimal Frequency for Wireless Power Transmission Into Dispersive Tissue (298 citations)

What are the main themes of her work throughout her whole career to date?

Her primary areas of study are Electronic engineering, Algorithm, Control theory, Computer hardware and Data compression. Her Electronic engineering research is multidisciplinary, incorporating perspectives in Wireless and Chip, Electronic circuit, Electrical engineering. Her studies link Computer network with Wireless.

Her studies deal with areas such as Transform coding, Theoretical computer science and Asynchronous communication as well as Algorithm. Her Control theory research includes themes of Communication channel and Signal processing. Teresa H. Meng has researched Computer hardware in several fields, including Uncompressed video, Encoder, Real-time computing and Embedded system.

She most often published in these fields:

• Electronic engineering (22.63%)
• Algorithm (17.70%)
• Control theory (13.17%)

What were the highlights of her more recent work (between 2005-2014)?

• Electrical engineering (9.05%)
• Electronic engineering (22.63%)
• CMOS (9.88%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Electrical engineering, Electronic engineering, CMOS, Wireless and Successive approximation ADC. Her Electrical engineering study integrates concerns from other disciplines, such as Power transmission, Acoustics and Communication channel. She studies Electronic engineering, namely Adaptive filter.

Her CMOS study also includes fields such as

• Real-time computing, Sequence and Chip most often made with reference to Signal,
• Digital control, which have a strong connection to Demodulation. Her research integrates issues of Maximum power transfer theorem, Computer network and Microarchitecture in her study of Wireless. Her Computer network research is multidisciplinary, incorporating elements of Energy conservation, Block code and Throughput.

Between 2005 and 2014, her most popular works were:

• Optimal Frequency for Wireless Power Transmission Into Dispersive Tissue (298 citations)
• Merge: a programming model for heterogeneous multi-core systems (272 citations)
• HermesE: A 96-Channel Full Data Rate Direct Neural Interface in 0.13 $\mu$ m CMOS (152 citations)

In her most recent research, the most cited papers focused on:

• Artificial intelligence
• Algorithm
• Statistics

Her scientific interests lie mostly in Electrical engineering, Electronic engineering, Wireless, State and Computer hardware. Her Electrical engineering study combines topics in areas such as Power transmission and Neural activity. Her work on Bandwidth as part of general Electronic engineering study is frequently connected to Acceleration, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

Her Wireless research incorporates themes from Code rate, Energy conservation, Maximum power transfer theorem and Data transmission. Her State research also works with subjects such as

• Decoding methods which is related to area like Path, Probabilistic logic, Brain–computer interface and Kalman filter,
• Communication which is related to area like Algorithm, Trajectory, Estimator, Markov chain and Artificial intelligence. Within one scientific family, Teresa H. Meng focuses on topics pertaining to Signal under Computer hardware, and may sometimes address concerns connected to Multiprocessing.